TRACKEYE811

％ 用于模拟PN结中载流子的分布、电场和电势 ％ 总长为 L 的半导体截面上，左侧为 N 区，掺杂浓度 NA；右侧为 P 区，掺杂浓度为 ND ％ 假设截面积足够大( Used to simulate the PN junction carrier distribution, electric field and electric potential L total length of the semiconductor section, left for N areas, doping concentration NA the right for the P zone, doping concentration ND assumption for the cut-off an area large enough)

射频信号的去噪，纯净信号为数字调制的AN,FM,BPSK信号，噪声为高斯白噪声。应用SVD分解方法进行去噪。(RF signal denoising, pure signal for the digital modulation of the AN, FM, BPSK signals, noise is Gaussian white noise. Application of SVD decomposition method for denoising.)

IDW距离反比加权方法，未来线路预测,分析误差,单径或多径瑞利衰落信道仿真。( IDW inverse distance weighting method, Future line prediction, error analysis, Single path or multipath Rayleigh fading channel simulation.)

萤火虫算法（Firefly Algorithm）是一种群智能优化算法，它是英国的学者在2008年提出的，其本质是利用萤火虫在觅食和信息交汇中的一种仿生算法。( Firefly Algorithm (Firefly Algorithm) is a swarm intelligence optimization algorithm, which is a British scholar proposed in 2008, and its essence is to use the firefly in the convergence of information and foraging in a bionic algorithm.)

语音特征参数分析，包括语音信号的预处理，FFT变换及逆变换(Speech characteristic parameters analysis, including the speech signal pre-processing, FFT transform and inverse transform)

基于MATLAB的数字水印嵌入方法的实现以及相关操作(MATLAB-based digital watermark embedding method and related operations to achieve)

TR接收机的主程序。这个程序能够运行，并且能够取得比较好的结果(TR receiver in the main program. This program can run, and can achieve good results)

功率谱密度相关方法的MATLAB实现代码，包含基础讲解和算例代码(Power spectral density related methods of MATLAB code, including basic explanation and example code)

3GPP LTE-A Standardisation in Release 12 and Beyond

计算SENSE重建图像中的g-factor,这是并行磁共振成像SENSE算法的关键一步(G-factor is the metric to quantify the amplificaiton of noise power in reconstructing SENSE accelerated image. The detail was presented in Pruessmann s 1999 Magn. Reson. Med. paper. In theory, g-factor is the pixel-by-pixel ratio of the image variance between the SENSE reconstructed image and un-accelerated image. And g-factor depends on: (1) the k-space data trajectory (2) coil sensitivit profiles (3) noise covariance matrix of the array coil)